Coreference resolution, an essential task in natural language processing, is particularly challenging in multi-modal scenarios where data comes in various forms and modalities. Despite advancements, limitations due to scarce labeled data and ...

Event Coreference Resolution (ECR) aims to group same event mentions into a cluster. Previous work on capturing multi-dimensional event information focused on rule matching or feature fusion, and this makes ability of model mainly relies in ...

To address issues such as ineffective control of the number of mentions and neglecting contextual relationships during mention clustering in end-to-end Chinese coreference resolution models, a context-matching-based joint training Chinese ...

Gender-neutral pronouns are increasingly being introduced across Western languages. Recent evaluations have however demonstrated that English NLP systems are unable to correctly process gender-neutral pronouns, with the risk of erasing and misgendering ...

Anaphora resolution is a traditional task in the natural language processing community, defined as a cohesion phenomenon where one entity points back to a previous entity. Event discourse deixis (EDD) is a kind of more complex anaphora in which the ...

Multiple-choice questions (MCQs) from online lectures can benefit students in a number of ways. MCQs are a quick and accurate technique to evaluate knowledge and understanding since they can rapidly and accurately reinforce important topics ...

Open Information Extraction (OpenIE) extracts relational fact tuples in the form of <subject, relation, object> from text. Most existing OpenIE solutions operate at sentence level and extract relational tuples solely from a sentence. However, many ...

Leveraging pre-trained language models (PLMs) as initializers for efficient transfer learning has become a universal approach for text-related tasks. However, the models not only learn the language understanding abilities but also reproduce prejudices ...

Law and order is a field that can highly benefit from the contribution of Natural Language Processing (NLP) to its betterment. An area in which NLP can be of immense help is, information retrieval from legal documents which function as legal databases. ...

Coreference resolution is critical for improving the performance of all text-based systems including information extraction, document summarization, machine translation, and question-answering. Most of coreference resolution solutions rely on using ...

Since over a decade coreference resolution systems have been developed in order to find simple 1-to-1 equivalent mapping (sameAs relations) between instances of different linked datasets and knowledge graphs. Comparative evaluations of instance matching ...

This paper presents a new method for improving the cohesiveness of summaries generated by extractive summarization systems. The solution presented attempts to improve the legibility and cohesion of the generated summaries through coreference resolution. ...

There has been a recent swell of interest in the analysis of blog comments. However, much of the work focuses on detecting comment spam in the blogsphere. An important issue that has been neglected so far is the identification of diversionary comments. ...

Recent US government initiatives have led to wide adoption of Electronic Health Records (EHRs). More and more health care institutions are storing patients' data in an electronic format. These EHRs contain valuable information which can be used in ...

Coreference resolution is the process of determining whether two expressions refer to the same entity. We adopt machine learning approach to coreference resolution. Feature selection of entity is the key of coreference resolution. This paper presents ...

This paper presents a highly parallel solution for cross-document co reference resolution, which can deal with billions of documents that exist in the current web. At the core of our solution lies a novel algorithm for community detection in large scale ...

Natural Language Processing (NLP) for Vietnamese has been researched for more than a decade but still lacks of an open-source NLP pipeline. As the result, researchers have to spend a lot of time on various fundamental tasks before working on the task of ...

Although joint inference is an effective approach to avoid cascading of errors when inferring multiple natural language tasks, its application to information extraction has been limited to modeling only two tasks at a time, leading to modest ...

An important issue that has been neglected so far is the identification of diversionary comments. Diversionary comments under political blog posts are defined as comments that deliberately twist the bloggers' intention and divert the topic to another ...

While traditional work on anaphora resolution has focused on resolving anaphors in newspaper and newswire articles, the surge of interest in biomedical natural language processing in recent years has stimulated work on anaphora resolution in biomedical ...